BIM Implication of Life Cycle Cost Analysis in Construction Project: A Systematic Review

In the construction industry, the policymakers tend toward economic sustainability. Whereas in the construction industry the associated future cost inflicts barriers on project sustainability. Therefore, Life Cycle Cost Analysis (LCCA) approach, which acts as an economic indicator has been considere...

Full description

Saved in:
Bibliographic Details
Main Authors: Altaf, M., Alaloul, W.S., Musarat, M.A., Bukhari, H., Saad, S., Ammad, S.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100768230&doi=10.1109%2fIEEECONF51154.2020.9319970&partnerID=40&md5=2e29b2f48be621a3f73b670eb87d5ae0
http://eprints.utp.edu.my/29761/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Petronas
id my.utp.eprints.29761
record_format eprints
spelling my.utp.eprints.297612022-03-25T02:49:25Z BIM Implication of Life Cycle Cost Analysis in Construction Project: A Systematic Review Altaf, M. Alaloul, W.S. Musarat, M.A. Bukhari, H. Saad, S. Ammad, S. In the construction industry, the policymakers tend toward economic sustainability. Whereas in the construction industry the associated future cost inflicts barriers on project sustainability. Therefore, Life Cycle Cost Analysis (LCCA) approach, which acts as an economic indicator has been considered for predicting the associated cost. While predicting the Life Cycle Cost (LCC), there exists inconsistency in the future data, thus an automation approach is required to minimize the variability in the cost prediction and analyse the LCC. The purpose of this systematic review is to spotlight on the implications of Building Information Modelling (BIM) which is an automated approach in performing LCCA. The relevant literature was extracted from the Scopus database. A total of 39 articles were extracted, afterward, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology is applied, and 24 articles are left for further interpretation. In the reviewed articles, the importance of BIM in measuring LCCA is highlighted. The BIM approach can help in quantity estimation and analyzing the future operation and maintenance cost for LCCA with accuracy. Whereas still, data acquisition is a barrier in performing LCCA. There is a need for a BIM library that consists of the required data parameter to perform LCCA, also an LCC schema is required such as IFC and COBie to assist in data exchange for LCCA. © 2020 IEEE. Institute of Electrical and Electronics Engineers Inc. 2020 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100768230&doi=10.1109%2fIEEECONF51154.2020.9319970&partnerID=40&md5=2e29b2f48be621a3f73b670eb87d5ae0 Altaf, M. and Alaloul, W.S. and Musarat, M.A. and Bukhari, H. and Saad, S. and Ammad, S. (2020) BIM Implication of Life Cycle Cost Analysis in Construction Project: A Systematic Review. In: UNSPECIFIED. http://eprints.utp.edu.my/29761/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description In the construction industry, the policymakers tend toward economic sustainability. Whereas in the construction industry the associated future cost inflicts barriers on project sustainability. Therefore, Life Cycle Cost Analysis (LCCA) approach, which acts as an economic indicator has been considered for predicting the associated cost. While predicting the Life Cycle Cost (LCC), there exists inconsistency in the future data, thus an automation approach is required to minimize the variability in the cost prediction and analyse the LCC. The purpose of this systematic review is to spotlight on the implications of Building Information Modelling (BIM) which is an automated approach in performing LCCA. The relevant literature was extracted from the Scopus database. A total of 39 articles were extracted, afterward, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology is applied, and 24 articles are left for further interpretation. In the reviewed articles, the importance of BIM in measuring LCCA is highlighted. The BIM approach can help in quantity estimation and analyzing the future operation and maintenance cost for LCCA with accuracy. Whereas still, data acquisition is a barrier in performing LCCA. There is a need for a BIM library that consists of the required data parameter to perform LCCA, also an LCC schema is required such as IFC and COBie to assist in data exchange for LCCA. © 2020 IEEE.
format Conference or Workshop Item
author Altaf, M.
Alaloul, W.S.
Musarat, M.A.
Bukhari, H.
Saad, S.
Ammad, S.
spellingShingle Altaf, M.
Alaloul, W.S.
Musarat, M.A.
Bukhari, H.
Saad, S.
Ammad, S.
BIM Implication of Life Cycle Cost Analysis in Construction Project: A Systematic Review
author_facet Altaf, M.
Alaloul, W.S.
Musarat, M.A.
Bukhari, H.
Saad, S.
Ammad, S.
author_sort Altaf, M.
title BIM Implication of Life Cycle Cost Analysis in Construction Project: A Systematic Review
title_short BIM Implication of Life Cycle Cost Analysis in Construction Project: A Systematic Review
title_full BIM Implication of Life Cycle Cost Analysis in Construction Project: A Systematic Review
title_fullStr BIM Implication of Life Cycle Cost Analysis in Construction Project: A Systematic Review
title_full_unstemmed BIM Implication of Life Cycle Cost Analysis in Construction Project: A Systematic Review
title_sort bim implication of life cycle cost analysis in construction project: a systematic review
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100768230&doi=10.1109%2fIEEECONF51154.2020.9319970&partnerID=40&md5=2e29b2f48be621a3f73b670eb87d5ae0
http://eprints.utp.edu.my/29761/
_version_ 1738657011830095872